The present disclosure relates to light detection and ranging (LiDAR), and in particular to LiDAR systems and methods for use in a vehicle.
Systems exist that enable vehicles to be driven semi-autonomously or fully autonomously. Such systems may use one or more range finding, mapping, or object detection systems to provide sensory input to assist in semi-autonomous or fully autonomous vehicle control. Conventional LiDAR systems can use fiber optic lasers or diode lasers as the light source. Both light sources have their advantages and disadvantages.
Embodiments discussed herein refer to LiDAR systems that use diode lasers to generate a high-repetition rate and multi-mode light pulse that is input to a fiber optic cable that transmits the light pulse to a scanning system. The fiber optic cable enables the diode lasers to be separated from the scanning system. This separation provides advantages of enhanced temperature control of the diode laser, especially if they are contained in a relatively more temperature controlled environment than that of the scanning system, and further provides design flexibility for the scanning system, which no longer has to house the diode lasers.
A laser system for use with a fiber optic cable is provided according to one embodiment. The laser system can include control circuitry and a multi-diode laser and optical fiber coupling (MDOFC) coupled the control circuitry and the fiber optic cable, the MDOFC operative to generate an optic fiber input beam that is a stack of integrated beams derived from a plurality of diode lasers that emit beams in a multi-mode, wherein the optic fiber input beam is input into the fiber optic cable.
A light detection and ranging (LiDAR) system is provided according an embodiment that includes a control system constructed to be contained within an interior portion of a vehicle. The control system can include control circuitry, and a multi-diode laser and optical fiber coupling (MDOFC) coupled the control circuitry and operative to generate an integrated light beam derived from a plurality of light beams. The system can include a scanning system constructed to be mounted to an exterior portion of the vehicle, and a fiber optic cable coupled to the MDOFC and the scanning system, wherein the fiber optic cable transmits the integrated light beam to the scanning system.
A light detection and ranging (LiDAR) system is provided according to another embodiment. The system can include a control system contained within a temperature controlled environment. The control system can include control circuitry, at least one diode laser each operative to emit a light beam in response to control signals provided by the control circuitry, and a lens that converges each light beam to have an angle less than a threshold. The system can include a scanning system mounted outside of the temperature controlled environment, and a fiber optic cable coupled to the control system and the scanning system, wherein the fiber optic cable receives a converged light beam from the lens and transmits the light beam to the scanning system.
A further understanding of the nature and advantages of the embodiments discussed herein may be realized by reference to the remaining portions of the specification and the drawings.
Illustrative embodiments are now described more fully hereinafter with reference to the accompanying drawings, in which representative examples are shown. Indeed, the disclosed communication systems and methods may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Like numbers refer to like elements throughout.
In the following detailed description, for purposes of explanation, numerous specific details are set forth to provide a thorough understanding of the various embodiments. Those of ordinary skill in the art will realize that these various embodiments are illustrative only and are not intended to be limiting in any way. Other embodiments will readily suggest themselves to such skilled persons having the benefit of this disclosure.
In addition, for clarity purposes, not all of the routine features of the embodiments described herein are shown or described. One of ordinary skill in the art would readily appreciate that in the development of any such actual embodiment, numerous embodiment-specific decisions may be required to achieve specific design objectives. These design objectives will vary from one embodiment to another and from one developer to another. Moreover, it will be appreciated that such a development effort might be complex and time-consuming but would nevertheless be a routine engineering undertaking for those of ordinary skill in the art having the benefit of this disclosure.
Control system 130 can include controller 132 and laser system 134. Controller 132 and laser system 134 may be coupled to scanning system 150 via cable system 140. Laser system 134 may transmit light pulses through cable system 140 to scanning system 150. Laser system 134 may use diode lasers to generate light pulses or fiber lasers. Controller 132 may control a current source at which laser system 134 transmits its light pulses. Controller 132 may receive detector signals from scanning system 150 via cable system 140. The detector signals may be the return or consequence signals that are detected by one or more detectors when the transmitted light pulses bounce of an object being observed by scanning system 150. Scanning system 150 may include the appropriate lenses, mirrors, steering optics, and detectors needed to capture an image of a scene existing within a vicinity of vehicle 100.
LiDAR system 120 separates laser system 132 and scanning system 150 from each other such that laser system 132 is contained within interior portion 101. Keeping laser system 132 (and other components associated with control system 130) within interior portion 101 provides an environment that is less harsh than that of exterior portion 102. This provides cooling advantages over containing laser system 134 as part of scanning system 150, which is located on exterior portion 102. Laser system 134 can use diode lasers or fiber lasers, and the light pulses transmit through cable system 140 to scanning system 150. Cable system 140 can include one or more fiber optic cables for transmitting light pulses from laser system 134 to scanning system 150. Cable system 140 can include one or more electrical conduits for transferring electrical signals between control system 130 and scanning system 150. For example, control system 130 may provide instructions to scanning system 150 to control steering optics. As another example, scanning system 150 may provide detection signals to controller 132 via cable system 140.
Diode laser 211, 221, 231, and 241 may each be multi-mode laser emitters or emitter stack and not single mode emitters. Multi-mode diode lasers are much cheaper and powerful than signal mode emitters. For example, in one embodiment, diode laser 211 may be an 85 μm diode laser available from Laser Components, Inc. of Bedford, New Hampshire
For each of diode lasers 211, 221, 231, and 241, their respective slow and fast axis collimators adjust the size, shape, and divergence angle of the beam emanating from each diode laser. That is, the fast and slow axis collimators precondition the beam from each laser diode before pairs of beams (each associated with a different diode laser) are combined or integrated to form an integrated beam and couple into a given fiber 290. See
Diode sub-systems 210 and 220 may combine their respective light pulses to form a first integrated beam that is directed towards fiber 290 via lens 270. Light emitted from sub-system 210 is reflected by mirror 250 and is combined with light emitted from sub-system 220 at PBS 260 to yield first integrated beam 280. First integrated beam 280 is projected along a first plane defined by the position of mirror 250 and PBS 260. Diode sub-systems 230 and 240 may combine their respective light pulses to form a second integrated beam that is directed towards fiber 290 via lens 270. Light emitted from sub-system 230 is reflected by mirror 252 and is combined with light emitted from sub-system 240 at PBS 262 to yield second integrated beam 282. Second integrated beam 282 is projected along a second plane defined by the position of mirror 252 and PBS 262. The first and second planes are parallel to each other but are offset from each other by a fixed distance such that the first and second integrated beams 280 and 282 are stacked on top of each other and are directed through optical lens 270, which may be an aspherical lens. Lens 270 can combine beams 280 and 282 to form third integrated beam 284. Third integrated beam 284 may be input directly into fiber 290.
It should be appreciated that the design and configuration of MDOFC 200 may vary depending on a number of different factors. For example, the diameter of the core and the numerical aperture of fiber 290 may dictate the size and operating properties of each diode laser chosen for use in MDOFC 200, the offset distance between paired diode lasers, and how many paired diode lasers can be stacked together. For example, the offset distance between first and second integrated beams 280 and 282 may be set to maximize power transfer of integrated beam 284 into fiber 290. It should be further appreciated that the positioning of diode sub-systems 210, 220, 230, and 240 can be rearranged. For example, diode sub-system 210 can be positioned such that it is aligned adjacent to sub-system 220, and similarly, sub-system 240 can also be positioned adjacent to sub-system 230 so that all sub-systems 210, 220, 230, and 240 are on the same side of the beams 280 and 282. Other components such as mirror 250 and PBS 262 may have to be reoriented to accommodate the different positions of sub-systems 210 and 240.
If desired, any suitable number of diode sub-system pairs may be stacked together to produce the desired integrated beam for coupling with the fiber. For example, if desired, three or more coupled pairs of diode laser beams may be stacked on top of each other. In some embodiments, the final integrated beam input into the fiber optic cable may be the product of a 1×N column of diode sub-system pairs (as illustrated in
Advantages of using diode lasers, as compared to fiber lasers is that they are relatively cheap, exhibit dynamic power control, and have relatively low power consumption. By combining pairs of laser diodes and stacking them together according to embodiments discussed herein, a non-elliptical beam pattern can be produced in the scanning system 150 (e.g., such as a square or circular shaped beam depending on shape of the fiber), the beam pattern is eye-safe, the repetition rate can be increased (e.g., a multiple of the repetition rate of one laser diode), and peak power can be increased.
Control circuitry (not shown) can sequentially fire each diode laser. Assuming each diode laser operates at a fixed repetition rate of X, a sequential firing of MDOFC 200 can result in a repetition rate that is at least four times X (because there are four laser diodes being fired in sequence). Moreover, because multiple lasers are being used together, the combined power output of the integrated beam coupled to the fiber is greater than any one diode laser. Use of diode emitters, as opposed to fiber lasers, enables the control circuitry to exercise dynamic power control over the power output provided MDOFC. That is, the control circuitry can adjust power output of MDOFC to varying between 0 and maximum power output in an order of a micro-second. Such dynamic power control is not possible with fiber lasers. In some embodiments, the diode lasers being used in MDOFC 200 may emit light pulses at a wavelength of about 800-1560 nm.
It should be appreciated that in some embodiments, beam splitters are not needed. For example, the control system can contain just one diode laser that sends its beam into a lens that converges down to the appropriate angle before entry into the fiber optic cable. As another example, if two diode lasers are used, they can be arranged adjacent to each other such that their respective beams form an integrated beam that is input into to the lens before entry into the fiber optic cable. Any suitable number of diodes may be arranged together to form a desired integrated beam.
Placement of MDOFC 200 within the interior portion of a vehicle and not in the scanning system simplifies design constraints of the scanning system. The fiber optic cable transports the laser signals from MDOFC to the scanning system. This frees the scanning system from heat dissipation issues associated with the diode lasers. Because the diode lasers of MDOFC 200 are contained in the interior portion, heat dissipation of the diode lasers can be controlled more easily than convention systems that incorporate diode lasers in the scanning system. In addition, the design of MDOFC 200 use multiple, lower power, laser diodes that each consume less power than a single laser diode designed to provide the same power output as the combined power output of MDOFC 200. As a result, the laser diodes in MDOFC 200 do not produce as much heat that need to be mitigated, as compared to the single laser diode designed to provide the same power output as the combined power output of MDOFC 200. The design of MDOFC 200 also takes advantages of generous space of the control system 130. A small sized scanning system 150 is preferable, however, minimizing the size compromises the lens design and optical system performance. By embedding MDOFC 200 in control system 130 (within the interior portion), the coupling efficiency to the fiber and system performance can be optimized without constraint of space.
Not shown in
The MDOFC coupled to fiber tip 510 may operate as a multi-mode emitter. Operating in as multi-mode emitter provides a relatively square-shaped beam (as shown in
In some embodiments, vehicle 900 can operate under solely control of a human operator, but the various sensors and systems of the vehicle and the road conditions (e.g., road and the path traveled, other vehicles, stop signs, traffic lights, various events occurring outside of the vehicle) can be monitored and recorded.
Vehicle 900 can include various subsystems such as a propulsion system 902, a sensor system 904, a control system 906, one or more peripherals 908, as well as a power supply 910, a computer system 912, and a user interface 916. Vehicle 900 may include more or fewer subsystems and each subsystem can include multiple elements. Further, each of the subsystems and elements of vehicle 900 can be interconnected. Thus, one or more of the described functions of the vehicle 900 may be divided up into additional functional or physical components, or combined into fewer functional or physical components. In some further examples, additional functional and/or physical components may be added to the examples illustrated by
Propulsion system 902 may include components operable to provide powered motion for the vehicle 900. Depending upon the embodiment, the propulsion system 902 can include an engine/motor 918, an energy source 919, a transmission 920, and wheels/tires 921. The engine/motor 918 can be any combination of an internal combustion engine, an electric motor, steam engine, Stirling engine, or other types of engines and/or motors. In some embodiments, the engine/motor 918 may be configured to convert energy source 919 into mechanical energy. In some embodiments, the propulsion system 902 can include multiple types of engines and/or motors. For instance, a gas-electric hybrid car can include a gasoline engine and an electric motor. Other examples are possible.
Energy source 919 can represent a source of energy that may, in full or in part, power the engine/motor 918. That is, the engine/motor 918 can be configured to convert the energy source 919 into mechanical energy. Examples of energy sources 919 include gasoline, diesel, other petroleum-based fuels, propane, other compressed gas-based fuels, ethanol, solar panels, batteries, and other sources of electrical power. The energy source(s) 919 can additionally or alternatively include any combination of fuel tanks, batteries, capacitors, and/or flywheels. The energy source 919 can also provide energy for other systems of the vehicle 900.
Transmission 920 can include elements that are operable to transmit mechanical power from the engine/motor 918 to the wheels/tires 921. To this end, the transmission 920 can include a gearbox, clutch, differential, and drive shafts. The transmission 920 can include other elements. The drive shafts can include one or more axles that can be coupled to the one or more wheels/tires 921.
Wheels/tires 921 of vehicle 900 can be configured in various formats, including a unicycle, bicycle/motorcycle, tricycle, or car/truck four-wheel format. Other wheel/tire geometries are possible, such as those including six or more wheels. Any combination of the wheels/tires 921 of vehicle 900 may be operable to rotate differentially with respect to other wheels/tires 921. The wheels/tires 921 can represent at least one wheel that is fixedly attached to the transmission 920 and at least one tire coupled to a rim of the wheel that can make contact with the driving surface. The wheels/tires 921 can include any combination of metal and rubber, or another combination of materials.
Sensor system 904 may include a number of sensors configured to sense information about an environment of the vehicle 900. For example, the sensor system 904 can include a Global Positioning System (GPS) 922, an inertial measurement unit (IMU) 924, a RADAR unit 926, a laser rangefinder/LIDAR unit 928, and a camera 930. The sensor system 904 can also include sensors configured to monitor internal systems of the vehicle 900 (e.g., 02 monitor, fuel gauge, engine oil temperature). Other sensors are possible as well.
One or more of the sensors included in sensor system 904 can be configured to be actuated separately and/or collectively in order to modify a position and/or an orientation of the one or more sensors.
GPS 922 may be any sensor configured to estimate a geographic location of the vehicle 900. To this end, GPS 922 can include a transceiver operable to provide information regarding the position of the vehicle 900 with respect to the Earth.
IMU 924 can include any combination of sensors (e.g., accelerometers and gyroscopes) configured to sense position and orientation changes of the vehicle 900 based on inertial acceleration.
RADAR unit 926 may represent a system that utilizes radio signals to sense objects within the local environment of the vehicle 900. In some embodiments, in addition to sensing the objects, the RADAR unit 926 may additionally be configured to sense the speed and/or heading of the objects. Similarly, laser rangefinder or LIDAR unit 928 may be any sensor configured to sense objects in the environment in which the vehicle 900 is located using lasers. Depending upon the embodiment, the laser rangefinder/LIDAR unit 928 can include one or more laser sources, a laser scanner, and one or more detectors, among other system components. The laser rangefinder/LIDAR unit 928 can be configured to operate in a coherent (e.g., using heterodyne detection) or an incoherent detection mode.
Camera 930 can include one or more devices configured to capture a plurality of images of the environment of vehicle 900. Camera 930 can be a still camera or a video camera.
Control system 906 may be configured to control operation of vehicle 900 and its components. Accordingly, control system 906 can include various elements include steering unit 932, throttle 934, brake unit 936, a sensor fusion algorithm 938, a computer vision system 940, a navigation/pathing system 942, and an obstacle avoidance system 944.
Steering unit 932 can represent any combination of mechanisms that may be operable to adjust the heading of vehicle 900. Throttle 934 can be configured to control, for instance, the operating speed of the engine/motor 918 and, in turn, control the speed of the vehicle 900. Brake unit 936 can include any combination of mechanisms configured to decelerate the vehicle 900. Brake unit 936 can use friction to slow wheels/tires 921. In other embodiments, the brake unit 936 can convert the kinetic energy of wheels/tires 921 to electric current. The brake unit 936 may take other forms as well. The brake unit 936 may control braking of the vehicle 900, for example, using a braking algorithm that takes into account input from one or more units of the sensor system 904.
Sensor fusion algorithm 938 may be an algorithm (or a computer program product storing an algorithm) configured to accept data from the sensor system 904 as an input. The data may include, for example, data representing information sensed at the sensors of the sensor system 904. The sensor fusion algorithm 938 can include, for instance, a Kalman filter, Bayesian network, or other algorithm. The sensor fusion algorithm 938 can further provide various assessments based on the data from sensor system 904. Depending upon the embodiment, the assessments can include evaluations of individual objects and/or features in the environment of vehicle 900, evaluation of a particular situation, and/or evaluate possible impacts based on the particular situation. Other assessments are possible.
Computer vision system 940 may be any system operable to process and analyze images captured by camera 930 in order to identify objects and/or features in the environment of vehicle 900 that can include traffic signals, road way boundaries, and obstacles. Computer vision system 940 can use an object recognition algorithm, a Structure From Motion (SFM) algorithm, video tracking, and other computer vision techniques. In some embodiments, the computer vision system 940 can be additionally configured to map an environment, track objects, estimate the speed of objects, etc.
Navigation and pathing system 942 may be any system configured to determine a driving path for the vehicle 900, for example, by referencing navigation data such as geographical or map data. The navigation and pathing system 942 may additionally be configured to update the driving path dynamically while the vehicle 900 is in operation. In some embodiments, the navigation and pathing system 942 can be configured to incorporate data from the sensor fusion algorithm 938, the GPS 922, and one or more predetermined maps so as to determine the driving path for vehicle 900. Obstacle avoidance system 944 can represent a control system configured to identify, evaluate, and avoid or otherwise negotiate potential obstacles in the environment of the vehicle 900. Control system 906 may additionally or alternatively include components other than those shown and described.
Peripherals 908 may be configured to allow interaction between the vehicle 900 and external sensors, other vehicles, other computer systems, and/or a user. For example, peripherals 908 can include a wireless communication system 946, a touchscreen 948, a microphone 950, and/or a speaker 952. In an example embodiment, peripherals 908 can provide, for instance, means for a user of the vehicle 900 to interact with the user interface 916. To this end, touchscreen 948 can provide information to a user of vehicle 900. User interface 916 can also be operable to accept input from the user via the touchscreen 948. The touchscreen 948 may be configured to sense at least one of a position and a movement of a user's finger via capacitive sensing, resistance sensing, or a surface acoustic wave process, among other possibilities. Touchscreen 948 may be capable of sensing finger movement in a direction parallel or planar to the touchscreen surface, in a direction normal to the touchscreen surface, or both, and may also be capable of sensing a level of pressure applied to the touchscreen surface. Touchscreen 948 may be formed of one or more translucent or transparent insulating layers and one or more translucent or transparent conducting layers. Touchscreen 948 may take other forms as well.
In other instances, peripherals 908 may provide means for the vehicle 900 to communicate with devices within its environment. Microphone 950 may be configured to receive audio (e.g., a voice command or other audio input) from a user of vehicle 900. Similarly, speakers 952 may be configured to output audio to the user of vehicle 900.
In one example, wireless communication system 946 can be configured to wirelessly communicate with one or more devices directly or via a communication network. For example, wireless communication system 946 can use 3G cellular communication, such as CDMA, EVDO, GSM/GPRS, or 4G cellular communication, such as WiMAX or LTE. Alternatively, wireless communication system 946 can communicate with a wireless local area network (WLAN), for example, using WiFi. In some embodiments, wireless communication system 946 can communicate directly with a device, for example, using an infrared link, Bluetooth, or ZigBee. Other wireless protocols, such as various vehicular communication systems, are possible within the context of the disclosure. For example, the wireless communication system 946 can include one or more dedicated short range communications (DSRC) devices that can include public and/or private data communications between vehicles and/or roadside stations.
Power supply 910 may provide power to various components of vehicle 900 and can represent, for example, a rechargeable lithium-ion or lead-acid battery. In some embodiments, one or more banks of such batteries can be configured to provide electrical power. Other power supply materials and configurations are possible. In some embodiments, the power supply 910 and energy source 919 can be implemented together, as in some all-electric cars.
Many or all of the functions of vehicle 900 can be controlled by computer system 912. Computer system 912 may include at least one processor 913 (which can include at least one microprocessor) that executes instructions 915 stored in a non-transitory computer readable medium, such as the data storage 914. Computer system 912 may also represent a plurality of computing devices that may serve to control individual components or subsystems of the vehicle 900 in a distributed fashion.
In some embodiments, data storage 914 may contain instructions 915 (e.g., program logic) executable by processor 913 to execute various functions of vehicle 900, including those described above in connection with
Vehicle 900 may include a user interface 916 for providing information to or receiving input from a user of vehicle 900. User interface 916 can control or enable control of content and/or the layout of interactive images that can be displayed on the touchscreen 948. Further, user interface 916 can include one or more input/output devices within the set of peripherals 908, such as wireless communication system 946, touchscreen 948, microphone 950, and the speaker 952.
Port 960 may be a port through which vehicle 900 receives power to charge power supply 910 and to communicate data stored in data store 914.
Computer system 912 may control the function of vehicle 900 based on inputs received from various subsystems (e.g., propulsion system 902, sensor system 104, and control system 906), as well as from user interface 916. For example, computer system 912 may utilize input from control system 906 in order to control steering unit 932 to avoid an obstacle detected by sensor system 904 and obstacle avoidance system 944. Depending upon the embodiment, computer system 912 can be operable to provide control over many aspects of vehicle 900 and its subsystems.
The components of vehicle 900 can be configured to work in an interconnected fashion with other components within or outside their respective systems. For instance, in an example embodiment, camera 930 can capture a plurality of images that can represent information about a state of an environment of vehicle 900 operating in an autonomous or manual mode. The environment can include every conceivable type of data that can be observed and collected by vehicle 900. For example, the environment can include the road and all aspects associated with the road such as temperature, composition of the road (e.g., concrete or asphalt), moisture level, lanes, curbs, turn lanes, cross walks, stop lights, stop signs, yield signs and other traffic signs, and barricades. The environment can include objects such as other vehicles, people, random debris in or adjacent to the road.
Computer system 912 can monitor and log the environmental inputs in conjunction with operational states of the vehicle. The operational states can refer to operational and control parameters of the vehicle such as speed, trajectory, steering input, acceleration input, and brake input, and also can include results of driver input or AI driver input. This way, regardless of whether the vehicle is operating in autonomous mode or under human control, computer system 912 can simultaneously log the environmental inputs and the operational states to provide a comprehensive vehicle log.
Although
It is believed that the disclosure set forth herein encompasses multiple distinct inventions with independent utility. While each of these inventions has been disclosed in its preferred form, the specific embodiments thereof as disclosed and illustrated herein are not to be considered in a limiting sense as numerous variations are possible. Each example defines an embodiment disclosed in the foregoing disclosure, but any one example does not necessarily encompass all features or combinations that may be eventually claimed. Where the description recites “a” or “a first” element or the equivalent thereof, such description includes one or more such elements, neither requiring nor excluding two or more such elements. Further, ordinal indicators, such as first, second or third, for identified elements are used to distinguish between the elements, and do not indicate a required or limited number of such elements, and do not indicate a particular position or order of such elements unless otherwise specifically stated.
Moreover, any processes described with respect to
It is to be understood that any or each module or state machine discussed herein may be provided as a software construct, firmware construct, one or more hardware components, or a combination thereof. For example, any one or more of the state machines or modules may be described in the general context of computer-executable instructions, such as program modules, that may be executed by one or more computers or other devices. Generally, a program module may include one or more routines, programs, objects, components, and/or data structures that may perform one or more particular tasks or that may implement one or more particular abstract data types. It is also to be understood that the number, configuration, functionality, and interconnection of the modules or state machines are merely illustrative, and that the number, configuration, functionality, and interconnection of existing modules may be modified or omitted, additional modules may be added, and the interconnection of certain modules may be altered.
Whereas many alterations and modifications of the present invention will no doubt become apparent to a person of ordinary skill in the art after having read the foregoing description, it is to be understood that the particular embodiments shown and described by way of illustration are in no way intended to be considered limiting. Therefore, reference to the details of the preferred embodiments is not intended to limit their scope.
This application claims the benefit of U.S. Provisional Application No. 62/633,366, filed Feb. 21, 2018, the disclosure of which is incorporated herein in its entirety.
Number | Name | Date | Kind |
---|---|---|---|
3897150 | Bridges et al. | Jul 1975 | A |
4464048 | Farlow | Aug 1984 | A |
4676586 | Jones et al. | Jun 1987 | A |
4923263 | Johnson | May 1990 | A |
5006721 | Cameron et al. | Apr 1991 | A |
5012079 | Singh et al. | Apr 1991 | A |
5157451 | Taboada | Oct 1992 | A |
5173797 | Zedekar et al. | Dec 1992 | A |
5185736 | Tyrrell et al. | Feb 1993 | A |
5254893 | Ide | Oct 1993 | A |
5319434 | Croteau et al. | Jun 1994 | A |
5369661 | Yamaguchi et al. | Nov 1994 | A |
5442358 | Keeler et al. | Aug 1995 | A |
5504731 | Lee et al. | Apr 1996 | A |
5546188 | Wangler et al. | Aug 1996 | A |
5579153 | Laming et al. | Nov 1996 | A |
5657077 | Deangelis et al. | Aug 1997 | A |
5793491 | Wangler et al. | Aug 1998 | A |
5838239 | Stern et al. | Nov 1998 | A |
5864391 | Hosokawa et al. | Jan 1999 | A |
5920140 | Nakagishi et al. | Jul 1999 | A |
5926259 | Bamberger et al. | Jul 1999 | A |
5936756 | Nakajima | Aug 1999 | A |
6163378 | Khoury | Dec 2000 | A |
6317202 | Hosokawa et al. | Nov 2001 | B1 |
6593582 | Lee et al. | Jul 2003 | B2 |
6594000 | Green et al. | Jul 2003 | B2 |
6650404 | Crawford | Nov 2003 | B1 |
6950733 | Stopczynski | Sep 2005 | B2 |
7128267 | Reichenbach et al. | Oct 2006 | B2 |
7202941 | Munro | Apr 2007 | B2 |
7345271 | Boehlau et al. | Mar 2008 | B2 |
7440084 | Kane | Oct 2008 | B2 |
7440175 | Di et al. | Oct 2008 | B2 |
7489865 | Varshineya et al. | Feb 2009 | B2 |
7576837 | Liu et al. | Aug 2009 | B2 |
7830527 | Chen et al. | Nov 2010 | B2 |
7835068 | Brooks et al. | Nov 2010 | B1 |
7847235 | Krupkin et al. | Dec 2010 | B2 |
7880865 | Tanaka et al. | Feb 2011 | B2 |
7936448 | Albuquerque et al. | May 2011 | B2 |
7969558 | Hall | Jun 2011 | B2 |
7982861 | Abshire et al. | Jul 2011 | B2 |
8072582 | Meneely | Dec 2011 | B2 |
8471895 | Banks | Jun 2013 | B2 |
8736818 | Weimer et al. | May 2014 | B2 |
8749764 | Hsu | Jun 2014 | B2 |
8812149 | Doak | Aug 2014 | B2 |
8994928 | Shiraishi | Mar 2015 | B2 |
9048616 | Robinson | Jun 2015 | B1 |
9065243 | Asobe et al. | Jun 2015 | B2 |
9086273 | Gruver et al. | Jul 2015 | B1 |
9194701 | Bosch | Nov 2015 | B2 |
9255790 | Zhu | Feb 2016 | B2 |
9279662 | Steffey et al. | Mar 2016 | B2 |
9300321 | Zalik et al. | Mar 2016 | B2 |
9304316 | Weiss et al. | Apr 2016 | B2 |
9316724 | Gehring et al. | Apr 2016 | B2 |
9354485 | Fermann et al. | May 2016 | B2 |
9465175 | Shi et al. | Oct 2016 | B2 |
9510505 | Halloran et al. | Dec 2016 | B2 |
9529083 | Bridges et al. | Dec 2016 | B2 |
9575184 | Gilliland et al. | Feb 2017 | B2 |
9605998 | Nozawa | Mar 2017 | B2 |
9621876 | Federspiel | Apr 2017 | B2 |
9638799 | Goodwin et al. | May 2017 | B2 |
9696426 | Zuk | Jul 2017 | B2 |
9702966 | Batcheller et al. | Jul 2017 | B2 |
9804264 | Villeneuve | Oct 2017 | B2 |
9810776 | Sapir | Nov 2017 | B2 |
9810786 | Welford et al. | Nov 2017 | B1 |
9812838 | Villeneuve et al. | Nov 2017 | B2 |
9823353 | Eichenholz et al. | Nov 2017 | B2 |
9857468 | Eichenholz et al. | Jan 2018 | B1 |
9869754 | Campbell et al. | Jan 2018 | B1 |
9879990 | Klepsvik et al. | Jan 2018 | B2 |
9880263 | Droz et al. | Jan 2018 | B2 |
9880278 | Uffelen et al. | Jan 2018 | B2 |
9885778 | Dussan | Feb 2018 | B2 |
9897689 | Dussan | Feb 2018 | B2 |
9910139 | Pennecot | Mar 2018 | B2 |
9915726 | Bailey et al. | Mar 2018 | B2 |
9927915 | Frame et al. | Mar 2018 | B2 |
9958545 | Eichenholz et al. | May 2018 | B2 |
9989629 | LaChapelle | Jun 2018 | B1 |
10003168 | Villeneuve | Jun 2018 | B1 |
10007001 | LaChapelle et al. | Jun 2018 | B1 |
10012732 | Eichenholz et al. | Jul 2018 | B2 |
10042159 | Dussan et al. | Aug 2018 | B2 |
10061019 | Campbell et al. | Aug 2018 | B1 |
10073166 | Dussan | Sep 2018 | B2 |
10078133 | Dussan | Sep 2018 | B2 |
10094925 | LaChapelle | Oct 2018 | B1 |
10157630 | Vaughn et al. | Dec 2018 | B2 |
10191155 | Curatu | Jan 2019 | B2 |
10215847 | Scheim et al. | Feb 2019 | B2 |
10267898 | Campbell et al. | Apr 2019 | B2 |
10295656 | Li et al. | May 2019 | B1 |
10310058 | Campbell et al. | Jun 2019 | B1 |
10324170 | Enberg, Jr. et al. | Jun 2019 | B1 |
10324185 | McWhirter et al. | Jun 2019 | B2 |
10393877 | Hall et al. | Aug 2019 | B2 |
10429495 | Wang et al. | Oct 2019 | B1 |
10444356 | Wu et al. | Oct 2019 | B2 |
10451716 | Hughes et al. | Oct 2019 | B2 |
10466342 | Zhu et al. | Nov 2019 | B1 |
10502831 | Eichenholz | Dec 2019 | B2 |
10509112 | Pan | Dec 2019 | B1 |
10520602 | Villeneuve et al. | Dec 2019 | B2 |
10557923 | Watnik et al. | Feb 2020 | B2 |
10557940 | Eichenholz et al. | Feb 2020 | B2 |
10571567 | Campbell et al. | Feb 2020 | B2 |
10578720 | Hughes et al. | Mar 2020 | B2 |
10591600 | Villeneuve et al. | Mar 2020 | B2 |
10627491 | Hall et al. | Apr 2020 | B2 |
10641872 | Dussan et al. | May 2020 | B2 |
10649136 | Weirich et al. | May 2020 | B2 |
10663564 | LaChapelle | May 2020 | B2 |
10663585 | McWhirter | May 2020 | B2 |
10663596 | Dussan et al. | May 2020 | B2 |
10684360 | Campbell | Jun 2020 | B2 |
10732281 | LaChapelle | Aug 2020 | B2 |
10852398 | Yu et al. | Dec 2020 | B2 |
10908262 | Dussan | Feb 2021 | B2 |
10908265 | Dussan | Feb 2021 | B2 |
10908268 | Zhou et al. | Feb 2021 | B2 |
10969475 | Li et al. | Apr 2021 | B2 |
10983218 | Hall et al. | Apr 2021 | B2 |
11002835 | Pan et al. | May 2021 | B2 |
11009605 | Li et al. | May 2021 | B2 |
11016192 | Pacala et al. | May 2021 | B2 |
11194048 | Burbank et al. | Dec 2021 | B1 |
20020136251 | Green et al. | Sep 2002 | A1 |
20020149757 | Kelsey | Oct 2002 | A1 |
20040135992 | Munro | Jul 2004 | A1 |
20050033497 | Stopczynski | Feb 2005 | A1 |
20050190424 | Reichenbach et al. | Sep 2005 | A1 |
20050195383 | Breed et al. | Sep 2005 | A1 |
20060071846 | Yanagisawa et al. | Apr 2006 | A1 |
20060132752 | Kane | Jun 2006 | A1 |
20070091948 | Di et al. | Apr 2007 | A1 |
20070188735 | Braunecker et al. | Aug 2007 | A1 |
20070216995 | Bollond et al. | Sep 2007 | A1 |
20080037028 | Cheung et al. | Feb 2008 | A1 |
20080074640 | Walsh et al. | Mar 2008 | A1 |
20080174762 | Liu et al. | Jul 2008 | A1 |
20080192228 | Eaton | Aug 2008 | A1 |
20080193135 | Du et al. | Aug 2008 | A1 |
20090010644 | Varshneya et al. | Jan 2009 | A1 |
20090028193 | Islam | Jan 2009 | A1 |
20090051926 | Chen | Feb 2009 | A1 |
20090059201 | Willner et al. | Mar 2009 | A1 |
20090067453 | Mizuuchi et al. | Mar 2009 | A1 |
20090142086 | Leclair et al. | Jun 2009 | A1 |
20090147239 | Zhu | Jun 2009 | A1 |
20090262760 | Krupkin et al. | Oct 2009 | A1 |
20090316134 | Michael et al. | Dec 2009 | A1 |
20100006760 | Lee et al. | Jan 2010 | A1 |
20100020306 | Hall | Jan 2010 | A1 |
20100020377 | Brochers et al. | Jan 2010 | A1 |
20100027602 | Abshire et al. | Feb 2010 | A1 |
20100045965 | Meneely | Feb 2010 | A1 |
20100053715 | O'Neill et al. | Mar 2010 | A1 |
20100128109 | Banks | May 2010 | A1 |
20100271614 | Albuquerque et al. | Oct 2010 | A1 |
20110181864 | Schmitt et al. | Jul 2011 | A1 |
20110185935 | Jennings et al. | Aug 2011 | A1 |
20110216792 | Chann | Sep 2011 | A1 |
20110306956 | Islam | Dec 2011 | A1 |
20120038903 | Weimer et al. | Feb 2012 | A1 |
20120124113 | Zalik et al. | May 2012 | A1 |
20120162749 | Gusev | Jun 2012 | A1 |
20120221142 | Doak | Aug 2012 | A1 |
20130107016 | Federspeil | May 2013 | A1 |
20130116971 | Retkowski et al. | May 2013 | A1 |
20130241761 | Cooper et al. | Sep 2013 | A1 |
20130293867 | Hsu et al. | Nov 2013 | A1 |
20130293946 | Fermann et al. | Nov 2013 | A1 |
20130314694 | Tchoryk, Jr. et al. | Nov 2013 | A1 |
20130329279 | Nati et al. | Dec 2013 | A1 |
20130342822 | Shiraishi | Dec 2013 | A1 |
20140036252 | Amzajerdian et al. | Feb 2014 | A1 |
20140078514 | Zhu | Mar 2014 | A1 |
20140104594 | Gammenthaler | Apr 2014 | A1 |
20140226140 | Chuang et al. | Aug 2014 | A1 |
20140347650 | Bosch | Nov 2014 | A1 |
20140350836 | Stettner et al. | Nov 2014 | A1 |
20150078123 | Batcheller et al. | Mar 2015 | A1 |
20150084805 | Dawber | Mar 2015 | A1 |
20150109603 | Kim et al. | Apr 2015 | A1 |
20150116692 | Zuk et al. | Apr 2015 | A1 |
20150139259 | Robinson | May 2015 | A1 |
20150158489 | Oh et al. | Jun 2015 | A1 |
20150338270 | Williams et al. | Nov 2015 | A1 |
20150355327 | Goodwin et al. | Dec 2015 | A1 |
20160003946 | Gilliland et al. | Jan 2016 | A1 |
20160047896 | Dussan | Feb 2016 | A1 |
20160047900 | Dussan | Feb 2016 | A1 |
20160061655 | Nozawa | Mar 2016 | A1 |
20160061935 | Mccloskey et al. | Mar 2016 | A1 |
20160100521 | Halloran et al. | Apr 2016 | A1 |
20160117048 | Frame et al. | Apr 2016 | A1 |
20160139266 | Montoya et al. | May 2016 | A1 |
20160172819 | Ogaki | Jun 2016 | A1 |
20160178736 | Chung | Jun 2016 | A1 |
20160226210 | Zayhowski et al. | Aug 2016 | A1 |
20160245902 | Natnik | Aug 2016 | A1 |
20160259038 | Retterath et al. | Aug 2016 | A1 |
20160273034 | Lundquist et al. | Sep 2016 | A1 |
20160291134 | Droz et al. | Oct 2016 | A1 |
20160313445 | Bailey et al. | Oct 2016 | A1 |
20160327646 | Scheim et al. | Nov 2016 | A1 |
20160377721 | Lardin et al. | Dec 2016 | A1 |
20170003116 | Yee et al. | Jan 2017 | A1 |
20170153319 | Villeneuve et al. | Jun 2017 | A1 |
20170242104 | Dussan | Aug 2017 | A1 |
20170299721 | Eichenholz et al. | Oct 2017 | A1 |
20170307738 | Schwarz et al. | Oct 2017 | A1 |
20170365105 | Rao et al. | Dec 2017 | A1 |
20180031678 | Singer et al. | Feb 2018 | A1 |
20180040171 | Kundu et al. | Feb 2018 | A1 |
20180050704 | Tascione et al. | Feb 2018 | A1 |
20180069367 | Villeneuve et al. | Mar 2018 | A1 |
20180152691 | Pacala et al. | May 2018 | A1 |
20180158471 | Vaughn et al. | Jun 2018 | A1 |
20180164439 | Droz et al. | Jun 2018 | A1 |
20180156896 | O'Keeffe | Jul 2018 | A1 |
20180188355 | Bao et al. | Jul 2018 | A1 |
20180188357 | Li et al. | Jul 2018 | A1 |
20180188358 | Li et al. | Jul 2018 | A1 |
20180188371 | Bao et al. | Jul 2018 | A1 |
20180210084 | Zwölfer et al. | Jul 2018 | A1 |
20180275274 | Bao et al. | Sep 2018 | A1 |
20180284241 | Campbell et al. | Oct 2018 | A1 |
20180284242 | Campbell | Oct 2018 | A1 |
20180284286 | Eichenholz et al. | Oct 2018 | A1 |
20180329060 | Pacala et al. | Nov 2018 | A1 |
20180359460 | Pacala et al. | Dec 2018 | A1 |
20190025428 | Li et al. | Jan 2019 | A1 |
20190107607 | Danziger | Apr 2019 | A1 |
20190107623 | Campbell et al. | Apr 2019 | A1 |
20190120942 | Zhang et al. | Apr 2019 | A1 |
20190120962 | Gimpel et al. | Apr 2019 | A1 |
20190154804 | Eichenholz | May 2019 | A1 |
20190154807 | Steinkogler et al. | May 2019 | A1 |
20190212416 | Li et al. | Jul 2019 | A1 |
20190250254 | Campbell et al. | Aug 2019 | A1 |
20190257924 | Li et al. | Aug 2019 | A1 |
20190265334 | Zhang et al. | Aug 2019 | A1 |
20190265336 | Zhang et al. | Aug 2019 | A1 |
20190265337 | Zhang et al. | Aug 2019 | A1 |
20190265339 | Zhang et al. | Aug 2019 | A1 |
20190273365 | Zediker | Sep 2019 | A1 |
20190277952 | Beuschel et al. | Sep 2019 | A1 |
20190310368 | LaChapelle | Oct 2019 | A1 |
20190369215 | Wang et al. | Dec 2019 | A1 |
20190369258 | Hall et al. | Dec 2019 | A1 |
20190383915 | Li et al. | Dec 2019 | A1 |
20200142070 | Hall et al. | May 2020 | A1 |
20200227882 | Zhang et al. | Jul 2020 | A1 |
20200256964 | Campbell et al. | Aug 2020 | A1 |
20200284906 | Eichenholz et al. | Sep 2020 | A1 |
20200319310 | Hall et al. | Oct 2020 | A1 |
20200341124 | Yu et al. | Oct 2020 | A1 |
20200400798 | Rezk et al. | Dec 2020 | A1 |
20210088630 | Zhang | Mar 2021 | A9 |
20210165169 | Takano et al. | Jun 2021 | A1 |
20220050187 | Yao | Feb 2022 | A1 |
Number | Date | Country |
---|---|---|
2629319 | Jul 2007 | CA |
1677050 | Oct 2005 | CN |
101201403 | Jun 2008 | CN |
103750814 | Apr 2014 | CN |
103792544 | May 2014 | CN |
204216401 | Mar 2015 | CN |
204758260 | Nov 2015 | CN |
204885804 | Dec 2015 | CN |
204885804 | Dec 2015 | CN |
205643711 | Oct 2016 | CN |
108132472 | Jun 2018 | CN |
207457508 | Jun 2018 | CN |
207557465 | Jun 2018 | CN |
208314210 | Jan 2019 | CN |
208421228 | Jan 2019 | CN |
109690383 | Apr 2019 | CN |
208705506 | Apr 2019 | CN |
106597471 | May 2019 | CN |
209280923 | Aug 2019 | CN |
108445468 | Nov 2019 | CN |
110031823 | Mar 2020 | CN |
108089201 | Apr 2020 | CN |
109116331 | Apr 2020 | CN |
109917408 8 | Apr 2020 | CN |
109116366 | May 2020 | CN |
109116367 | May 2020 | CN |
110031822 | May 2020 | CN |
211655309 | Oct 2020 | CN |
109188397 | Nov 2020 | CN |
109814086 | Nov 2020 | CN |
109917348 | Nov 2020 | CN |
110492856 | Nov 2020 | CN |
110736975 | Nov 2020 | CN |
109725320 | Dec 2020 | CN |
110780284 | Dec 2020 | CN |
110780283 | Jan 2021 | CN |
110784220 | Feb 2021 | CN |
212623082 | Feb 2021 | CN |
110492349 | Mar 2021 | CN |
109950784 | May 2021 | CN |
213182011 | May 2021 | CN |
213750313 | Jul 2021 | CN |
214151038 | Sep 2021 | CN |
109814082 | Oct 2021 | CN |
113491043 | Oct 2021 | CN |
214795200 | Nov 2021 | CN |
214795206 | Nov 2021 | CN |
214895784 | Nov 2021 | CN |
214895810 | Nov 2021 | CN |
215641806 | Jan 2022 | CN |
112639527 8 | Feb 2022 | CN |
215932142 | Mar 2022 | CN |
112578396 | Apr 2022 | CN |
102012202637 | Aug 2013 | DE |
0 757 257 | Feb 1997 | EP |
1 237 305 | Sep 2002 | EP |
1 923 721 | May 2008 | EP |
2 157 445 | Feb 2010 | EP |
2 395 368 | Dec 2011 | EP |
2 889 642 | Jul 2015 | EP |
1 427 164 | Mar 1976 | GB |
1427164 | Mar 1976 | GB |
2000411 | Jan 1979 | GB |
H9-297014 | Nov 1997 | JP |
2002221574 | Aug 2002 | JP |
2005009956 | Jan 2005 | JP |
2007144667 | Jun 2007 | JP |
2010035385 | Feb 2010 | JP |
2010085316 | Apr 2010 | JP |
2012-26921 | Feb 2012 | JP |
2012-83289 | Apr 2012 | JP |
2015-111160 | Jun 2015 | JP |
2016014665 | Jan 2016 | JP |
2017-003347 | Jan 2017 | JP |
2017-138301 | Aug 2017 | JP |
20100096931 | Sep 2010 | KR |
10-2012-0013515 | Feb 2012 | KR |
10-2013-0068224 | Jun 2013 | KR |
10-2018-0107673 | Oct 2018 | KR |
02101408 | Dec 2002 | WO |
2004065984 | Aug 2004 | WO |
2006088822 | Aug 2006 | WO |
2010000751 | Jan 2010 | WO |
2014203854 | Dec 2014 | WO |
2015120118 | Aug 2015 | WO |
2018162010 | Oct 2016 | WO |
2017110417 | Jun 2017 | WO |
2018125725 | Jul 2018 | WO |
2018129410 | Jul 2018 | WO |
2018126248 | Jul 2018 | WO |
2018129408 | Jul 2018 | WO |
2018129409 | Jul 2018 | WO |
2018129410 | Jul 2018 | WO |
2018175990 | Sep 2018 | WO |
2018182812 | Oct 2018 | WO |
2019079642 | Apr 2019 | WO |
2019165095 | Aug 2019 | WO |
2019165289 | Aug 2019 | WO |
2019165294 | Aug 2019 | WO |
2020013890 | Jan 2020 | WO |
Entry |
---|
Mirrors (Year: 2021). |
Why Wavelengths Matter in Fiber Optics—FirstLight (Year: 2021). |
CN-204885804-U (Year: 2015). |
Chen, X, et al. (Feb. 2010). “Polarization Coupling of Light and Optoelectronics Devices Based on Periodically Poled Lithium Niobate,” Shanghai Jiao Tong University, China, Frontiers in Guided Wave Optics and Optoelectronics, 24 pages. |
Goldstein, R. (Apr. 1986) “Electro-Optic Devices in Review, The Linear Electro-Optic (Pockels) Effect Forms the Basis for a Family of Active Devices,” Laser & Applications, FastPulse Technology, Inc., 6 pages. |
International Preliminary Report on Patentability, dated Jul. 9, 2019, for International Application No. PCT/US2018/012703, 10 pages. |
International Preliminary Report on Patentability, dated Jul. 9, 2019, for International Application No. PCT/US2018/012704, 7 pages. |
International Preliminary Report on Patentability, dated Jul. 9, 2019, for International Application No. PCT/US2018/012705, 7 pages. |
International Search Report and Written Opinion, dated Jan. 17, 2020, for International Application No. PCT/US2019/019276, 14 pages. |
International Search Report and Written Opinion, dated Jul. 9, 2019, for International Application No. PCT/US2019/018987, 17 pages. |
International Search Report and Written Opinion, dated Sep. 18, 2018, for International Application No. PCT/US2018/012116, 12 pages. |
International Search Report and Written Opinion, dated May 3, 2019, for International Application No. PCT/US2019/019272, 16 pages. |
International Search Report and Written Opinion, dated May 6, 2019, for International Application No. PCT/US2019/019264, 15 pages. |
International Search Report and Written Opinion, dated Jan. 3, 2019, for International Application No. PCT/US2018/056577, 15 pages. |
International Search Report and Written Opinion, dated Mar. 23, 2018, for International Application No. PCT/US2018/012704, 12 pages. |
International Search Report and Written Opinion, dated Jun. 7, 2018, for International Application No. PCT/US2018/024185, 9 pages. |
International Preliminary Report on Patentability, dated Apr. 30, 2020, for International Application No. PCT/US2018/056577, 8 pages. |
European Search Report, dated Jul. 17, 2020, for EP Application No. 18776977.3, 12 pages. |
Extended European Search Report, dated Jul. 10, 2020, for EP Application No. 18736738.8, 9 pages. |
Gunzung, Kim, et al. (Mar. 2, 2016). “A hybrid 3D LIDAR imager based on pixel-by-pixel scanning and DS-OCDMA,” pages Proceedings of SPIE [Proceedings of SPIE ISSN 0277-786X vol. 10524], SPIE, US, vol. 9751, pp. 975119-975119-8. |
Extended European Search Report, dated Jul. 22, 2020, for EP Application No. 18736685.1, 10 pages. |
Gluckman, J. (May 13, 2016). “Design of the processing chain for a high-altitude, airbome, single-photon lidar mapping instrument,” Proceedings of SPIE; [Proceedings of SPIE ISSN 0277-786X vol. 10524], SPIE, US, vol. 9832, 9 pages. |
Office Action Issued in Japanese Patent Application No. 2019-536019 dated Nov. 30, 2021, 6 pages. |
European Search Report, dated Jun. 17, 2021, for EP Application No. 18868896.4, 7 pages. |
“Fiber laser,” Wikipedia, https://en.wikipedia.org/wiki/Fiber_laser, 6 pages. |
International Search Report and Written Opinion, dated Mar. 19, 2018, for International Application No. PCT/US2018/012705, 12 pages. |
International Search Report and Written Opinion, dated Mar. 20, 2018, for International Application No. PCT/US2018/012703, 13 pages. |
“Mirrors”, Physics LibreTexts, https://phys.libretexts.org/Bookshelves/Optics/Supplemental_Modules_(Components)/ Mirrors, (2021), 2 pages. |
“Why Wavelengths Matter in Fiber Optics”, FirstLight, https://www.firstlight.net/why-wavelengths-matter-in-fiber-optics/, (2021), 5 pages. |
Johnson, Lee., “Parabolic Mirror: How It Works & Types (w/ Examples)”, https://sciencing.com/parabolic-mirror-how-it-works-types-w-examples-diagram-13722364.html, Dec. 28, 2020, 14 pages. |
Helser, George., “Laser damage threshold—Galvo Mirror vs Polygon mirror”, https://precisionlaserscanning.com/2016/03/laser-damage-threshold-galvo-mirror-vs-polygon-mirror/, Mar. 25, 2016, 4 pages. |
Office Action issued in Japanese Patent Application No. 2019-536925 dated Nov. 9, 2021, 8 pages. |
International Search Report and Written Opinion issued in International Application No. PCT/US21/60660 dated Feb. 8, 2022, 9 pages. |
Hariyama et al., “High accuracy distance measurement under high temperature environment using two-color method,” Japan Society of Applied Physics, p. 606. |
International Search Report and Written Opinion issued in International Application No. POT/US2019/018786 dated Jun. 14, 2019, 13 pages. |
Office Action issued in Chinese Application No. 201880014734.1 dated Oct. 8, 2022, 40 pages. |
“Optical fiber connector,” Wikipedia, https://en.wikipedia.org/wiki/Optical_fiber_connector, downloaded on Nov. 21, 2022, 9 pages. |
Lei, Ming, et al. “Laser Assisted Obstacle Detection Method for Intelligent Vehicles,” Journal of Xi'an Technological University, vol. 35 No. 1, Jan. 2015, pp. 39-44. |
Chen, Li et al. “LiDAR technology and its application,” Journal of Henan Polytechnic University (Natural Sciences), vol. 28, No. 5, Oct. 2009, pp. 583-586. |
Number | Date | Country | |
---|---|---|---|
20190257926 A1 | Aug 2019 | US |
Number | Date | Country | |
---|---|---|---|
62633366 | Feb 2018 | US |